15 PRACTICAL GUIDES
Ask for source-backed documentation, verify generated claims, and turn an agent's output into something a teammate can trust and read.
AI-assisted documentation becomes useful when it can be checked against the repository. These guides focus on bounding the task, identifying the source revision, and separating observed behavior from proposed changes. The writing or analysis runs in your chosen tool; gitHtml is the reader for the HTML files you later commit, not an agent that inspects or changes your code.
Working with AI-written docs · 2 min
Specify approved inputs, prohibited actions, evidence requirements, and output format before using a separate AI tool to draft repository documentation.
Read guide : Write a read-only AI documentation prompt with explicit boundariesWorking with AI-written docs · 2 min
Track generated claims against source locations, revisions, confidence, and reviewer decisions so unsupported statements do not disappear into polished prose.
Read guide : Build an evidence ledger for AI-generated documentationWorking with AI-written docs · 2 min
Check generated endpoint names, parameters, defaults, errors, and authorization statements against a versioned API contract and source evidence.
Read guide : Verify AI-generated API documentation against the actual contractWorking with AI-written docs · 2 min
Check generated architecture diagrams against source evidence, ownership boundaries, direction labels, and a text explanation before sharing them.
Read guide : Review AI-generated architecture diagrams for invented relationshipsWorking with AI-written docs · 2 min
Review generated snippets for real APIs, version assumptions, side effects, placeholders, and reproducible validation before readers copy them.
Read guide : Verify AI-generated documentation code examples before publicationWorking with AI-written docs · 2 min
Prevent stale generated guidance by recording repository revisions, dependency versions, source dates, and the limits of each review.
Read guide : Date and version the sources behind AI-generated documentationWorking with AI-written docs · 2 min
Replace vague confidence language with explicit evidence, bounded inferences, unknowns, and the next question a maintainer can answer.
Read guide : Label uncertainty in AI-generated documentation without losing usefulnessWorking with AI-written docs · 2 min
Handle disagreements between code, tests, contracts, and existing docs by recording scope and ownership instead of letting an AI draft choose silently.
Read guide : Resolve conflicting sources in an AI documentation draftWorking with AI-written docs · 2 min
Prepare minimal, approved source excerpts with synthetic examples and clear redaction notes before using a separate AI tool for documentation.
Read guide : Redact repository evidence before sending it to an AI documentation toolWorking with AI-written docs · 2 min
Keep repository comments, fetched pages, and embedded instructions in the evidence role when an AI tool helps draft technical documentation.
Read guide : Review documentation inputs for prompt-injection attemptsWorking with AI-written docs · 2 min
Regenerate only the affected explanation, preserve verified context, and review a semantic diff when code changes invalidate part of a document.
Read guide : Update AI-assisted documentation after a focused code changeWorking with AI-written docs · 2 min
Build a reliable glossary by tying domain terms to usage, distinguishing overloaded names, and resisting definitions inferred only from identifiers.
Read guide : Review an AI-generated project glossary for overloaded termsWorking with AI-written docs · 2 min
Verify that generated release notes describe shipped changes, affected users, and required actions without exposing internal material or overstating benefits.
Read guide : Review AI-generated release notes against shipped behaviorWorking with AI-written docs · 2 min
Check generated setup instructions for declared versions, missing access prerequisites, observable checkpoints, and a realistic first task.
Read guide : Review an AI-generated onboarding guide with a clean-environment checklistWorking with AI-written docs · 2 min
Review factual claims, examples, privacy, accessibility, revision scope, and rendering before committing an AI-assisted guide for readers.
Read guide : Publication checklist for an AI-assisted HTML guide